László Bertalan

526 total citations
23 papers, 360 citations indexed

About

László Bertalan is a scholar working on Ecology, Environmental Engineering and Soil Science. According to data from OpenAlex, László Bertalan has authored 23 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 14 papers in Environmental Engineering and 8 papers in Soil Science. Recurrent topics in László Bertalan's work include Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (7 papers) and Hydrology and Sediment Transport Processes (7 papers). László Bertalan is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (7 papers) and Hydrology and Sediment Transport Processes (7 papers). László Bertalan collaborates with scholars based in Hungary, Germany and Spain. László Bertalan's co-authors include Szilárd Szabó, Gergely Szabó, I. J. Holb, Anette Eltner, Tibor József Novák, Jesús Rodrigo‐Comino, Kwanele Phinzi, Monika Šulc Michalková, Zoltán Kovács and Jens Grundmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Environmental Management.

In The Last Decade

László Bertalan

21 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
László Bertalan Hungary 12 182 149 119 117 61 23 360
Deepak R. Joshi United States 12 199 1.1× 116 0.8× 138 1.2× 117 1.0× 41 0.7× 24 444
Polyanna da Conceição Bispo Brazil 13 198 1.1× 190 1.3× 153 1.3× 48 0.4× 37 0.6× 54 493
Robert Minařík Czechia 10 243 1.3× 312 2.1× 99 0.8× 100 0.9× 21 0.3× 22 464
Enrico C. Paringit Philippines 11 291 1.6× 171 1.1× 184 1.5× 44 0.4× 76 1.2× 44 492
G. Papadavid Cyprus 11 202 1.1× 133 0.9× 181 1.5× 27 0.2× 50 0.8× 32 426
Pierre Karrasch Germany 7 95 0.5× 132 0.9× 64 0.5× 90 0.8× 25 0.4× 20 352
R. Denham Australia 11 272 1.5× 228 1.5× 154 1.3× 83 0.7× 30 0.5× 18 475
Adeel Ahmad Pakistan 8 109 0.6× 122 0.8× 132 1.1× 36 0.3× 40 0.7× 41 329
Emre Özelkan Türkiye 10 107 0.6× 143 1.0× 204 1.7× 31 0.3× 57 0.9× 28 387
Anita Šimić Milas United States 13 274 1.5× 265 1.8× 125 1.1× 21 0.2× 38 0.6× 25 472

Countries citing papers authored by László Bertalan

Since Specialization
Citations

This map shows the geographic impact of László Bertalan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by László Bertalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Bertalan more than expected).

Fields of papers citing papers by László Bertalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by László Bertalan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by László Bertalan. The network helps show where László Bertalan may publish in the future.

Co-authorship network of co-authors of László Bertalan

This figure shows the co-authorship network connecting the top 25 collaborators of László Bertalan. A scholar is included among the top collaborators of László Bertalan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with László Bertalan. László Bertalan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Bertalan, László, et al.. (2025). Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis. Earth Systems and Environment. 9(2). 801–824. 1 indexed citations
3.
Szabó, Szilárd, et al.. (2024). Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics. Journal of Geovisualization and Spatial Analysis. 8(1). 4 indexed citations
4.
Bertalan-Balázs, Boglárka, et al.. (2024). Comparative examinations of wind speed and energy extrapolation methods using remotely sensed data – A case study from Hungary. Energy Conversion and Management X. 24. 100760–100760. 4 indexed citations
5.
Bertalan, László, Gergely Szabó, István Grigorszky, et al.. (2024). Aquatic vegetation mapping with UAS-cameras considering phenotypes. Ecological Informatics. 81. 102624–102624.
6.
Kašanin-Grubin, Milica, et al.. (2024). Are volcaniclastics bad enough to make badlands?. CATENA. 246. 108448–108448.
7.
Bauer, Norbert, et al.. (2023). Cost–benefit analysis of remote sensing data types for mapping mosquito breeding sites. Spatial Information Research. 31(4). 419–428. 1 indexed citations
8.
Rusnák, Miloš, et al.. (2022). Remote Sensing of Riparian Ecosystems. Remote Sensing. 14(11). 2645–2645. 35 indexed citations
9.
Bertalan, László, et al.. (2022). UAV-based multispectral and thermal cameras to predict soil water content – A machine learning approach. Computers and Electronics in Agriculture. 200. 107262–107262. 58 indexed citations
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Eltner, Anette, László Bertalan, Jens Grundmann, Matthew Perks, & Eliisa Lotsari. (2021). Hydro‐morphological mapping of river reaches using videos captured with UAS. Earth Surface Processes and Landforms. 46(14). 2773–2787. 27 indexed citations
12.
Eltner, Anette, et al.. (2021). USING THERMAL AND RGB UAV IMAGERY TO MEASURE SURFACE FLOW VELOCITIES OF RIVERS. SHILAP Revista de lepidopterología. XLIII-B2-2021. 717–722. 11 indexed citations
13.
Phinzi, Kwanele, et al.. (2020). Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS International Journal of Geo-Information. 9(4). 252–252. 42 indexed citations
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Bertalan, László, Jesús Rodrigo‐Comino, Nicola Surian, et al.. (2019). Detailed assessment of spatial and temporal variations in river channel changes and meander evolution as a preliminary work for effective floodplain management. The example of Sajó River, Hungary. Journal of Environmental Management. 248. 109277–109277. 28 indexed citations
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Kovács, Zoltán, et al.. (2018). Identification of roofing materials with Discriminant Function Analysis and Random Forest classifiers on pan-sharpened WorldView-2 imagery – a comparison. Hungarian Geographical Bulletin. 67(4). 375–392. 20 indexed citations
19.
Bertalan, László, et al.. (2016). Confirmation of a theory: reconstruction of an alluvial plain development in a flume experiment. Erdkunde. 70(3). 271–285. 8 indexed citations
20.
Szabó, Szilárd, et al.. (2015). Possibilities of land use change analysis in a mountainous rural area: a methodological approach. International Journal of Geographical Information Systems. 30(4). 708–726. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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